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Isek Maxwell

Isek Maxwell

AI Data Annotation & Labeling Specialist | Freelance / Independent

Nigeria flagLagos, Nigeria
$10.00/hrIntermediateLabelboxV7 Labs

Key Skills

Software

LabelboxLabelbox
V7 LabsV7 Labs

Top Subject Matter

Ui/ux Domain Expertise
digital product interfaces
fintech and productivity apps

Top Data Types

ImageImage
DocumentDocument
TextText

Top Task Types

ClassificationClassification
Point/Key PointPoint/Key Point
Evaluation/RatingEvaluation/Rating
Question AnsweringQuestion Answering
Text GenerationText Generation
Object DetectionObject Detection
Text SummarizationText Summarization

Freelancer Overview

AI Data Annotation & Labeling Specialist | Freelance / Independent. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Figma. Education includes Bachelor of Science, University of Lagos (2022). AI-training focus includes data types such as Image and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

UX Data Annotator & Interface Analyst | SwiftKlin – Independent Project

ImageClassification
In the UX Data Annotator & Interface Analyst role for SwiftKlin, I comprehensively labeled user journeys and interface elements across mobile app screens. My work included annotating wireframes, classifying decision points, task flows, and identifying usability friction points. I maintained a structured component library to support high-quality, standardized annotations. • Labeled task flows and decision points for onboarding, booking, and payment. • Produced structured annotation outputs for both wireframes and high-fidelity screens. • Identified usability friction points and generated structured feedback. • Maintained a labeled library mapping visual elements to interaction types.

In the UX Data Annotator & Interface Analyst role for SwiftKlin, I comprehensively labeled user journeys and interface elements across mobile app screens. My work included annotating wireframes, classifying decision points, task flows, and identifying usability friction points. I maintained a structured component library to support high-quality, standardized annotations. • Labeled task flows and decision points for onboarding, booking, and payment. • Produced structured annotation outputs for both wireframes and high-fidelity screens. • Identified usability friction points and generated structured feedback. • Maintained a labeled library mapping visual elements to interaction types.

2024 - Present

AI Data Annotation & Labeling Specialist | Freelance / Independent

ImageClassification
As an AI Data Annotation & Labeling Specialist, I annotated and classified UI components, interaction patterns, and interface layouts in fintech, productivity, and AI app categories. My responsibilities included competitor analysis, mapping user flows, and providing RLHF-style feedback on AI-generated design outputs. I leveraged Figma and structured spreadsheets to deliver high-accuracy, consistent datasets for ML pipelines. • Conducted iterative quality reviews and reduced classification ambiguity. • Built reusable component taxonomies in Figma for multi-annotator consistency. • Mapped and documented end-to-end user flows using standard labeling formats. • Evaluated and ranked AI-generated interface suggestions with RLHF feedback.

As an AI Data Annotation & Labeling Specialist, I annotated and classified UI components, interaction patterns, and interface layouts in fintech, productivity, and AI app categories. My responsibilities included competitor analysis, mapping user flows, and providing RLHF-style feedback on AI-generated design outputs. I leveraged Figma and structured spreadsheets to deliver high-accuracy, consistent datasets for ML pipelines. • Conducted iterative quality reviews and reduced classification ambiguity. • Built reusable component taxonomies in Figma for multi-annotator consistency. • Mapped and documented end-to-end user flows using standard labeling formats. • Evaluated and ranked AI-generated interface suggestions with RLHF feedback.

2024 - Present

On.time – Task Management App Annotation

ImageClassification
On the On.time Task Management App Annotation project, I annotated app wireframes and prototypes, focusing on navigation structures and prioritization elements. I documented edge-case interaction states and ensured annotation consistency across iterative design changes. This work supported the creation of robust, structured datasets for UI training. • Annotated navigation and task grouping elements in mobile prototypes. • Labeled ambiguous UI components and maintained annotation quality. • Documented edge-case interaction states through systematic review. • Supported design iterations with consistent annotation standards.

On the On.time Task Management App Annotation project, I annotated app wireframes and prototypes, focusing on navigation structures and prioritization elements. I documented edge-case interaction states and ensured annotation consistency across iterative design changes. This work supported the creation of robust, structured datasets for UI training. • Annotated navigation and task grouping elements in mobile prototypes. • Labeled ambiguous UI components and maintained annotation quality. • Documented edge-case interaction states through systematic review. • Supported design iterations with consistent annotation standards.

2024 - 2024

SwiftKlin – Mobile App Interface Annotation

ImageClassification
For the SwiftKlin Mobile App Interface Annotation project, I labeled and classified over 40 mobile screens related to booking, pickup coordination, and payments. I annotated element types, interaction states, and user decision paths for use in comparative interface datasets. I conducted competitor comparisons and ensured annotation consistency across apps. • Labeled element types and user decision paths on over 40 screens. • Systematically documented and tagged interface patterns for competitor comparison datasets. • Produced label-ready datasets for use by AI model training teams. • Ensured classification consistency in multi-app comparison annotations.

For the SwiftKlin Mobile App Interface Annotation project, I labeled and classified over 40 mobile screens related to booking, pickup coordination, and payments. I annotated element types, interaction states, and user decision paths for use in comparative interface datasets. I conducted competitor comparisons and ensured annotation consistency across apps. • Labeled element types and user decision paths on over 40 screens. • Systematically documented and tagged interface patterns for competitor comparison datasets. • Produced label-ready datasets for use by AI model training teams. • Ensured classification consistency in multi-app comparison annotations.

2024 - 2024

Education

U

University of Lagos

Bachelor of Science, Economics

Bachelor of Science
2022 - 2022

Work History

S

SwiftKlin

Product Designer

Lagos
2024 - Present
F

Freelance

Product Designer (Freelance)

Lagos
2024 - Present